Melissa Benua on CI/CD and Quality Engineering
Melissa Benua, Engineering Manager of mParticle dives into Continuous Integration / Continuous Delivery and discusses some industry best practices and why Quality is going to become everyone's responsibility.
Activate your Looker Data Actions with mParticle
Take action on your Looker insights by connecting Looker Data Actions to mParticle.
Data is a team sport: Q4 feature announcements
Bad news for the rogue product manager, the lone wolf data scientist, the intransigent head of infosec, and the obstinate engineering manager: Data is a team sport. Learn about the forthcoming releases designed to help your whole team do more with more of your data.
Use mParticle’s integration with Kafka to address customer engagement at scale with real-time event processing
Learn how the new Kafka integration can help you stream customer data to systems and applications with event data forwarding, advanced filtering and compliance, distributed event notification, and event sourcing.
Load data to Snowflake for modern data warehousing
Learn how mParticle's Snowflake integration can help you warehouse your customer data more efficiently and securely at scale with automated data exports, advanced filtering and compliance, and easier querying.
Who are the top Marketing Technologists to Watch in 2019?
Nominate a marketing technologist for our upcoming report, "19 Marketing Technologists to Watch in 2019."
mParticle launches Data Master to help users improve data quality
In this post, Destination CRM notes the launch of mParticle's Data Master, which is intended to help users audit their respective data pipeline.
Beet TV: mParticle’s Katz on unifying data
mParticle CEO & Cofounder Michael Katz explains how a CDP can help brands break through the challenges associated with multi-touchpoint data ingestion and disconnected data systems by creating interoperability between all of the systems that they are using across the business.
How to plan your integrated data layer
Learn how to develop and implement a data layer instrumentation plan that aligns with your business and techical goals and provides you with a centralized source of clean customer data to power product and marketing initiatives.
The Customer Data Platform vendor landscape
The customer data platform vendor landscape is confusing, but can be segmented along three dimensions: business model, data sources, and customer type. This post explains each one, so you can separate signal from noise and identify the right CDP for your business.
Validity: The fifth V of Big Data
The Four V's of Big Data have been an industry standard since their introduction, but the increasing concerns about privacy recently have led to the need of a fifth V: Validity.
Mobile financial services: How traditional institutions can adapt
With the rise of mobile financial services, traditional financial companies have to change the way they approach modern customers or face failure.
ScyllaDB Migration: How to design high throughput and low latency NoSQL deployments
Yuan Ren, Head of Data Science at mParticle, discusses our ScyllaDB migration and how to process 50 billion monthly messages via NoSQL deployments.
App development: Planning for the long term
Long-term thinking is valuable when trying to meet any goal, and app development is no exception. However, long-term can be as short as a few weeks.